Akish Luintel

1.9k total citations
10 papers, 333 citations indexed

About

Akish Luintel is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Akish Luintel has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Infectious Diseases. Recurrent topics in Akish Luintel's work include Primary Care and Health Outcomes (2 papers), Global Maternal and Child Health (2 papers) and COVID-19 Clinical Research Studies (2 papers). Akish Luintel is often cited by papers focused on Primary Care and Health Outcomes (2 papers), Global Maternal and Child Health (2 papers) and COVID-19 Clinical Research Studies (2 papers). Akish Luintel collaborates with scholars based in United Kingdom, Netherlands and Ethiopia. Akish Luintel's co-authors include Gayatri Kembhavi, David McCoy, Michael Marks, Mahdad Noursadeghi, Arjun Nair, Bryan Williams, Wai Keong Wong, Matteo Quartagno, Rishi K Gupta and Marc Lipman and has published in prestigious journals such as The Lancet, European Respiratory Journal and Emerging infectious diseases.

In The Last Decade

Akish Luintel

8 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akish Luintel United Kingdom 6 93 87 73 62 58 10 333
Mathias Dzobo South Africa 11 173 1.9× 76 0.9× 60 0.8× 83 1.3× 22 0.4× 31 579
Alireza Shoghli Iran 11 172 1.8× 79 0.9× 83 1.1× 16 0.3× 50 0.9× 39 515
Nirmal Kandel Switzerland 9 209 2.2× 95 1.1× 29 0.4× 55 0.9× 47 0.8× 24 561
Melody Okereke Nigeria 12 142 1.5× 91 1.0× 39 0.5× 47 0.8× 13 0.2× 32 474
Sean Brennan United States 9 120 1.3× 137 1.6× 103 1.4× 102 1.6× 15 0.3× 15 499
Marie Aimée Muhimpundu Rwanda 9 31 0.3× 61 0.7× 134 1.8× 94 1.5× 41 0.7× 16 316
Azam Raoofi Iran 8 95 1.0× 36 0.4× 27 0.4× 42 0.7× 27 0.5× 19 466
Hajar Haghighi Iran 8 80 0.9× 53 0.6× 44 0.6× 21 0.3× 27 0.5× 18 438
Abbas Omaar Switzerland 3 125 1.3× 52 0.6× 20 0.3× 51 0.8× 21 0.4× 5 392
Beatriz Rache Brazil 6 90 1.0× 46 0.5× 45 0.6× 59 1.0× 46 0.8× 7 484

Countries citing papers authored by Akish Luintel

Since Specialization
Citations

This map shows the geographic impact of Akish Luintel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akish Luintel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akish Luintel more than expected).

Fields of papers citing papers by Akish Luintel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akish Luintel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akish Luintel. The network helps show where Akish Luintel may publish in the future.

Co-authorship network of co-authors of Akish Luintel

This figure shows the co-authorship network connecting the top 25 collaborators of Akish Luintel. A scholar is included among the top collaborators of Akish Luintel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akish Luintel. Akish Luintel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Bell, Lucy, et al.. (2020). Implementation and evaluation of a COVID-19 rapid follow-up service for patients discharged from the emergency department. Clinical Medicine. 21(1). e57–e62. 31 indexed citations
3.
Gupta, Rishi K, Michael Marks, Akish Luintel, et al.. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study. European Respiratory Journal. 56(6). 2003498–2003498. 96 indexed citations
4.
Patterson, Benjamin, Michael Marks, Gene L. Bidwell, et al.. (2020). A novel cohorting and isolation strategy for suspected COVID-19 cases during a pandemic. Journal of Hospital Infection. 105(4). 632–637. 27 indexed citations
5.
Ellis, Jayne, Akish Luintel, Arjun Chandna, & Robert S. Heyderman. (2019). Community-acquired acute bacterial meningitis in adults: a clinical update. British Medical Bulletin. 131(1). 57–70. 5 indexed citations
6.
Mamo, Yoseph, et al.. (2019). Non-communicable disease clinics in rural Ethiopia: why patients are lost to follow-up. Public Health Action. 9(3). 102–106. 4 indexed citations
7.
Luintel, Akish, et al.. (2019). ‘Ready to Reg’ – a pilot trial of experiential medical registrar training. Future Healthcare Journal. 6. s36–s36.
8.
Luintel, Akish, et al.. (2019). ‘Ready to Reg’ – a pilot trial of experiential medical registrar training. Future Healthcare Journal. 6. s36–s36. 2 indexed citations
9.
Luintel, Akish, Patricia Lowe, Anneli Cooper, et al.. (2017). Case of Nigeria-Acquired Human African Trypanosomiasis in United Kingdom, 2016. Emerging infectious diseases. 23(7). 1225–1227. 16 indexed citations
10.
McCoy, David, et al.. (2009). The Bill & Melinda Gates Foundation's grant-making programme for global health. The Lancet. 373(9675). 1645–1653. 152 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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